DocumentCode
1342568
Title
A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents
Author
Jarchi, Delaram ; Sanei, Saeid ; Principe, Jose C. ; Makkiabadi, Bahador
Author_Institution
Center of Digital Signal Process., Cardiff Univ., Cardiff, UK
Volume
58
Issue
1
fYear
2011
Firstpage
132
Lastpage
143
Abstract
A novel spatiotemporal filtering method for single trial estimation of event-related potential (ERP) subcomponents is proposed here. Unlike some previous works in ERP estimation, the proposed method is able to estimate temporally correlated ERP subcomponents such as P3a and P3b. A new cost function is, therefore, defined which can deflate one of the correlated subcomponents. The method is applied to both simulated and real data and has shown to perform very well even in low signal-to-noise ratio situations. In addition, the method is compared to spatial principal component analysis and its superiority has been confirmed by using simulated signals. The approach can be especially useful in mental fatigue analysis where the relative variability of P300 subcomponents is the key factor in detecting the level of fatigue.
Keywords
bioelectric potentials; electroencephalography; filtering theory; medical signal processing; P3a ERP subcomponent; P3b ERP subcomponent; correlated ERP subcomponent single trial estimation; event related potential subcomponents; fatigue level detection; spatial principal component analysis comparison; spatiotemporal filtering method; temporally correlated ERP subcomponent estimation; Brain modeling; Correlation; Equations; Estimation; Mathematical model; Principal component analysis; Scalp; Constraint; event-related potential (ERP); spatiotemporal filtering; subcomponent; Algorithms; Brain; Computer Simulation; Electroencephalography; Evoked Potentials; Humans; Principal Component Analysis; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2010.2083660
Filename
5594624
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